Triple
T15978315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anyanya |
E387506
|
entity |
| Predicate | notableLeader |
P304
|
FINISHED |
| Object |
Aggrey Jaden
Aggrey Jaden was a prominent South Sudanese nationalist leader and early figure in the struggle for Southern Sudan’s independence.
|
E1188714
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Aggrey Jaden | Statement: [Anyanya, notableLeader, Aggrey Jaden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aggrey Jaden Context triple: [Anyanya, notableLeader, Aggrey Jaden]
-
A.
Jaden McDaniels
Jaden McDaniels is an American professional basketball player known for his versatile defense and forward play in the NBA.
-
B.
Jaden Smith
Jaden Smith is an American actor and musician, known for his breakout childhood role alongside his father Will Smith in films and his later work in experimental hip hop and fashion.
-
C.
Jaden Piner
Jaden Piner is an American actor best known for playing the young version of Kevin in the Academy Award–winning film "Moonlight."
-
D.
Jaden Hiller
Jaden Hiller is a child actor best known for playing Lily Tucker-Pritchett in the television sitcom "Modern Family."
-
E.
Aaden Gosselin
Aaden Gosselin is one of the Gosselin sextuplets who grew up in the public eye on the reality television series about the Gosselin family.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aggrey Jaden Triple: [Anyanya, notableLeader, Aggrey Jaden]
Generated description
Aggrey Jaden was a prominent South Sudanese nationalist leader and early figure in the struggle for Southern Sudan’s independence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aggrey Jaden Target entity description: Aggrey Jaden was a prominent South Sudanese nationalist leader and early figure in the struggle for Southern Sudan’s independence.
-
A.
Jaden McDaniels
Jaden McDaniels is an American professional basketball player known for his versatile defense and forward play in the NBA.
-
B.
Jaden Smith
Jaden Smith is an American actor and musician, known for his breakout childhood role alongside his father Will Smith in films and his later work in experimental hip hop and fashion.
-
C.
Jaden Piner
Jaden Piner is an American actor best known for playing the young version of Kevin in the Academy Award–winning film "Moonlight."
-
D.
Jaden Hiller
Jaden Hiller is a child actor best known for playing Lily Tucker-Pritchett in the television sitcom "Modern Family."
-
E.
Aaden Gosselin
Aaden Gosselin is one of the Gosselin sextuplets who grew up in the public eye on the reality television series about the Gosselin family.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1575362e081909ff36e4d3c15ff2f |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c9567c8190af87c3fcf8a4af15 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc7fb8f308190b649a64c344884b0 |
completed | May 9, 2026, 11:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc83b4c648190bce41afbd6547fc1 |
completed | May 9, 2026, 11:50 p.m. |
Created at: April 10, 2026, 4:54 a.m.